General Architecture for Text Engineering: Difference between revisions

Revision as of 15:21, 17 July 2007

Revision as of 15:47, 17 July 2007

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{{Infobox_Software2

|logo = [[Image:Gate.gif|83px|GATE logo]]

|name = GATE

|screenshot =[[Image:Gate-add-new.png|250px|]]

|caption = General Architecture for Text Engineering.

|developer = [[Sheffield NLP research group]]

|operating_system = [[Cross-platform]]

|language = [[English language|English]] only

|genre = [[Text mining]]

|license = [[GNU Lesser General Public License|LGPL]]

|website = [http://gate.ac.uk/ http://gate.ac.uk/]

}}

'''General Architecture for Text Engineering''' or '''GATE''' is a [[Java (programming language)|Java]] software toolkit originally developed at the [[University of Sheffield]] since 1995 and now used worldwide by a wide community of scientists, companies, teachers and students for all sorts of [[Natural language processing | natural language processing]] tasks, including [[Information extraction | information extraction]] in many languages.

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GATE community and research is involved in several European research projects including [[Transitioning Applications to Ontologies|TAO]] and [[SEKT]].

== Features ==

GATE includes an information extraction system called ANNIE (A Nearly-New Information Extraction System) which is a set of modules comprising a [[Lexical analysis|tokenizer]], a [[Gazetteer|gazetteer]], a [[Sentence boundary disambiguation|sentence splitter]], a [[Part-of-speech tagging|part of speech tagger]], a [[Named entity recognition|named entities]] transducer and a [[Coreference|coreference]] tagger. Languages currently handled in GATE include English, Spanish, Chinese, Arabic, French, German, Hindi, Cebuano, Romanian, Russian. There is a large set of plugins for [[machine learning]] with [[Weka (machine learning)|Weka]], RASP, MAXENT, SVM Light, for managing [[Ontologies]] like [[WordNet]], for querying [[search engines]] like [[Google]] or [[Yahoo]], for part of speech tagging with [[Brill tagger|Brill]] or TreeTager, and many more.

GATE includes an information extraction system called ANNIE (A Nearly-New Information Extraction System) which is a set of modules comprising a [[Lexical analysis|tokenizer]], a [[Gazetteer|gazetteer]], a [[Sentence boundary disambiguation|sentence splitter]], a [[Part-of-speech tagging|part of speech tagger]], a [[Named entity recognition|named entities]] transducer and a [[Coreference|coreference]] tagger. Languages currently handled in GATE include English, Spanish, Chinese, Arabic, French, German, Hindi, Cebuano, Romanian, Russian. There is a large set of plugins for [[machine learning]] with [[Weka (machine learning)|Weka]], RASP, MAXENT, SVM Light, for managing [[Ontologies]] like [[WordNet]], for querying [[search engines]] like [[Google]] or [[Yahoo]], for part of speech tagging with [[Brill tagger|Brill]] or TreeTager, and many more.

Languages currently handled in GATE include English, Spanish, Chinese, Arabic, French, German, Hindi, Cebuano, Romanian, Russian.

There is a large set of plugins for [[machine learning]] with [[Weka (machine learning)|Weka]], RASP, MAXENT, SVM Light, for managing [[Ontologies]] like [[WordNet]], for querying [[search engines]] like [[Google]] or [[Yahoo]], for part of speech tagging with [[Brill tagger|Brill]] or TreeTager, and many more.

GATE can handle input in various formats, such as [[Text file|TXT]], [[HTML]], [[XML]], [[DOC (computing)|Doc]], [[PDF]] documents, and [[Serialization|Java Serial]], [[PostgreSQL]], [[Lucene]], [[Oracle database|Oracle]] Databases with help of RDBMS storage over [[JDBC]].